Correct k-NN settings and add more

_search-plugins/knn/settings.md

@@ -12,17 +12,28 @@ The k-NN plugin adds several new cluster settings. To learn more about static an
 
 ## Cluster settings
 
+The following table lists all available cluster-level k-NN settings. For more information about cluster settings, see [Configuring OpenSearch]({{site.url}}{{site.baseurl}}/install-and-configure/configuring-opensearch/index/#updating-cluster-settings-using-the-api) and [Updating cluster settings using the API]({{site.url}}{{site.baseurl}}/install-and-configure/configuring-opensearch/index/#updating-cluster-settings-using-the-api).
+
+Setting | Static/Dynamic | Default | Description
+:--- | :--- | :--- | :---
+`knn.plugin.enabled`| Dynamic | `true` | Enables or disables the k-NN plugin.
+`knn.algo_param.index_thread_qty` | Dynamic | `1` | The number of threads used for native library index creation. Keeping this value low reduces the CPU impact of the k-NN plugin, but also reduces indexing performance.
+`knn.cache.item.expiry.enabled` | Dynamic | `false` | Whether to remove native library indexes that have not been accessed for a certain duration from memory.
+`knn.cache.item.expiry.minutes` | Dynamic | `3h` | If enabled, the idle time before removing a native library index from memory.
+`knn.circuit_breaker.unset.percentage` | Dynamic | `75` | The native memory usage threshold for the circuit breaker. Memory usage must be below this percentage of `knn.memory.circuit_breaker.limit` for `knn.circuit_breaker.triggered` to remain `false`.
+`knn.circuit_breaker.triggered` | Dynamic | `false` | True when memory usage exceeds the `knn.circuit_breaker.unset.percentage` value.
+`knn.memory.circuit_breaker.limit` | Dynamic | `50%` | The native memory limit for native library indexes. At the default value, if a machine has 100 GB of memory and the JVM uses 32 GB, the k-NN plugin uses 50% of the remaining 68 GB (34 GB). If memory usage exceeds this value, k-NN removes the least recently used native library indexes.
+`knn.memory.circuit_breaker.enabled` | Dynamic | `true` | Whether to enable the k-NN memory circuit breaker.
+`knn.model.index.number_of_shards`| Dynamic | `1` | The number of shards to use for the model system index, the OpenSearch index that stores the models used for Approximate Nearest Neighbor (ANN) search.
+`knn.model.index.number_of_replicas`| Dynamic | `1` | The number of replica shards to use for the model system index. Generally, in a multi-node cluster, this should be at least 1 to increase stability.
+`knn.model.cache.size.limit` | Dynamic | `10%` |  Model cache limit cannot exceed 25% of the JVM heap.
+`knn.faiss.avx2.disabled` | Static | `false` | A static setting that specifies whether to disable the SIMD-based `libopensearchknn_faiss_avx2.so` library and load the non-optimized `libopensearchknn_faiss.so` library for the Faiss engine on machines with x64 architecture. For more information, see [SIMD optimization for the Faiss engine]({{site.url}}{{site.baseurl}}/search-plugins/knn/knn-index/#simd-optimization-for-the-faiss-engine).
+
+## Index settings
+
+The following table lists all available index-level k-NN settings. All settings are static. For information about updating static index-level settings, see [Updating a static index setting]({{site.url}}{{site.baseurl}}/install-and-configure/configuring-opensearch/index-settings/#updating-a-static-index-setting).
+
 Setting | Default | Description
-:--- | :--- | :---
-`knn.algo_param.index_thread_qty` | 1 | The number of threads used for native library index creation. Keeping this value low reduces the CPU impact of the k-NN plugin, but also reduces indexing performance.
-`knn.cache.item.expiry.enabled` | false | Whether to remove native library indexes that have not been accessed for a certain duration from memory.
-`knn.cache.item.expiry.minutes` | 3h | If enabled, the idle time before removing a native library index from memory.
-`knn.circuit_breaker.unset.percentage` | 75% | The native memory usage threshold for the circuit breaker. Memory usage must be below this percentage of `knn.memory.circuit_breaker.limit` for `knn.circuit_breaker.triggered` to remain false.
-`knn.circuit_breaker.triggered` | false | True when memory usage exceeds the `knn.circuit_breaker.unset.percentage` value.
-`knn.memory.circuit_breaker.limit` | 50% | The native memory limit for native library indexes. At the default value, if a machine has 100 GB of memory and the JVM uses 32 GB, the k-NN plugin uses 50% of the remaining 68 GB (34 GB). If memory usage exceeds this value, k-NN removes the least recently used native library indexes.
-`knn.memory.circuit_breaker.enabled` | true | Whether to enable the k-NN memory circuit breaker.
-`knn.plugin.enabled`| true | Enables or disables the k-NN plugin.
-`knn.model.index.number_of_shards`| 1 | The number of shards to use for the model system index, the OpenSearch index that stores the models used for Approximate Nearest Neighbor (ANN) search.
-`knn.model.index.number_of_replicas`| 1 | The number of replica shards to use for the model system index. Generally, in a multi-node cluster, this should be at least 1 to increase stability.
-`knn.advanced.filtered_exact_search_threshold`| null | The threshold value for the filtered IDs that is used to switch to exact search during filtered ANN search. If the number of filtered IDs in a segment is less than this setting's value, exact search will be performed on the filtered IDs.  
-`knn.faiss.avx2.disabled` | False | A static setting that specifies whether to disable the SIMD-based `libopensearchknn_faiss_avx2.so` library and load the non-optimized `libopensearchknn_faiss.so` library for the Faiss engine on machines with x64 architecture. For more information, see [SIMD optimization for the Faiss engine]({{site.url}}{{site.baseurl}}/search-plugins/knn/knn-index/#simd-optimization-for-the-faiss-engine).
+:--- | :--- | :--- 
+`index.knn.advanced.filtered_exact_search_threshold`| `null` | The threshold value for the filtered IDs that is used to switch to exact search during filtered ANN search. If the number of filtered IDs in a segment is less than this setting's value, exact search will be performed on the filtered IDs. 
+`index.knn.algo_param.ef_search` | `100` | `ef` (or `efSearch`) is the size of the dynamic list for the nearest neighbors used during the search. Higher values of `ef` lead to a more accurate but slower search. `ef` cannot be set lower than the number of queried nearest neighbors `k`. `ef` can take any value between `k` and the size of the dataset.